[
    {
        "key": "IPK3XATQ",
        "version": 7,
        "library": {
            "type": "group",
            "id": 277194,
            "name": "HILT 2014",
            "links": {
                "alternate": {
                    "href": "https://www.zotero.org/groups/hilt_2014",
                    "type": "text/html"
                }
            }
        },
        "links": {
            "self": {
                "href": "https://api.zotero.org/groups/277194/items/IPK3XATQ",
                "type": "application/json"
            },
            "alternate": {
                "href": "https://www.zotero.org/groups/hilt_2014/items/IPK3XATQ",
                "type": "text/html"
            }
        },
        "meta": {
            "createdByUser": {
                "id": 457726,
                "username": "thomasgpadilla",
                "name": "Thomas Padilla",
                "links": {
                    "alternate": {
                        "href": "https://www.zotero.org/thomasgpadilla",
                        "type": "text/html"
                    }
                }
            },
            "parsedDate": "2011-02-04",
            "numChildren": 1
        },
        "data": {
            "key": "IPK3XATQ",
            "version": 7,
            "itemType": "webpage",
            "title": "Digging into Image Data to Answer Authorship-Related Questions (DID-ARQ)",
            "creators": [],
            "abstractNote": "Digging into Image Data to Answer Authorship Related Questions (DID-ARQ) seeks to explore authorship studies of visual arts through computational image analyses.\nAuthorship Overview: In the past, authorship has been explored in terms of attributions, typically of either individual masterpieces or small collections of art from the same period, location, or school. Due to these localized strategies of exploration and research, commonalities and shared characteristics are largely unexplored. In fact, it is rare to find discussions beyond a single discrete dataset. More significantly, to our knowledge, there have to date been no studies of image analyses targeting the problem of authorship applied to very large collections of images and evaluated in terms of accuracy over diverse datasets.",
            "websiteTitle": "",
            "websiteType": "",
            "date": "2011-02-04",
            "publisher": "",
            "place": "",
            "DOI": "",
            "citationKey": "",
            "url": "http://isda.ncsa.illinois.edu/DID/",
            "accessDate": "2014-08-04T14:37:09Z",
            "shortTitle": "",
            "language": "",
            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "image analysis"
                }
            ],
            "collections": [],
            "relations": {},
            "dateAdded": "2014-08-04T14:37:09Z",
            "dateModified": "2014-08-04T14:38:06Z"
        }
    },
    {
        "key": "EMMHK73X",
        "version": 6,
        "library": {
            "type": "group",
            "id": 277194,
            "name": "HILT 2014",
            "links": {
                "alternate": {
                    "href": "https://www.zotero.org/groups/hilt_2014",
                    "type": "text/html"
                }
            }
        },
        "links": {
            "self": {
                "href": "https://api.zotero.org/groups/277194/items/EMMHK73X",
                "type": "application/json"
            },
            "alternate": {
                "href": "https://www.zotero.org/groups/hilt_2014/items/EMMHK73X",
                "type": "text/html"
            },
            "up": {
                "href": "https://api.zotero.org/groups/277194/items/IPK3XATQ",
                "type": "application/json"
            }
        },
        "meta": {
            "createdByUser": {
                "id": 457726,
                "username": "thomasgpadilla",
                "name": "Thomas Padilla",
                "links": {
                    "alternate": {
                        "href": "https://www.zotero.org/thomasgpadilla",
                        "type": "text/html"
                    }
                }
            }
        },
        "data": {
            "key": "EMMHK73X",
            "version": 6,
            "parentItem": "IPK3XATQ",
            "itemType": "attachment",
            "linkMode": "linked_url",
            "title": "Main project page - Digging into image data, NCSA at the University of Illinois at Urbana-Champaign",
            "accessDate": "2014-08-04T14:37:09Z",
            "url": "http://isda.ncsa.illinois.edu/DID/",
            "note": "",
            "contentType": "text/html",
            "charset": "",
            "tags": [],
            "relations": {},
            "dateAdded": "2014-08-04T14:37:09Z",
            "dateModified": "2014-08-04T14:37:09Z"
        }
    },
    {
        "key": "5RSCRHC7",
        "version": 5,
        "library": {
            "type": "group",
            "id": 277194,
            "name": "HILT 2014",
            "links": {
                "alternate": {
                    "href": "https://www.zotero.org/groups/hilt_2014",
                    "type": "text/html"
                }
            }
        },
        "links": {
            "self": {
                "href": "https://api.zotero.org/groups/277194/items/5RSCRHC7",
                "type": "application/json"
            },
            "alternate": {
                "href": "https://www.zotero.org/groups/hilt_2014/items/5RSCRHC7",
                "type": "text/html"
            }
        },
        "meta": {
            "createdByUser": {
                "id": 457726,
                "username": "thomasgpadilla",
                "name": "Thomas Padilla",
                "links": {
                    "alternate": {
                        "href": "https://www.zotero.org/thomasgpadilla",
                        "type": "text/html"
                    }
                }
            },
            "creatorSummary": "Schich, Maximilian",
            "parsedDate": "2014",
            "numChildren": 0
        },
        "data": {
            "key": "5RSCRHC7",
            "version": 5,
            "itemType": "webpage",
            "title": "A Network Framework of Cultural History",
            "creators": [
                {
                    "creatorType": "author",
                    "name": "Schich, Maximilian"
                }
            ],
            "abstractNote": "The emergent processes driving cultural history are a product of complex interactions among large numbers of individuals, determined by difficult-to-quantify historical conditions. To characterize these processes we have reconstructed aggregate intellectual mobility over two millennia through the birth and death locations of more than 150,000 notable individuals. The tools of network and complexity theory were then used to identify characteristic statistical patterns and determine the cultural and historical relevance of deviations. The resulting network of locations provides a macroscopic perspective of cultural history, which helps us to retrace cultural narratives of Europe and North America using large-scale visualization and quantitative dynamical tools and to derive historical trends of cultural centers beyond the scope of specific events or narrow time intervals.",
            "websiteTitle": "",
            "websiteType": "",
            "date": "2014",
            "publisher": "",
            "place": "",
            "DOI": "",
            "citationKey": "",
            "url": "http://www.cultsci.net/",
            "accessDate": "2014-08-04T11:15:32Z",
            "shortTitle": "",
            "language": "",
            "rights": "",
            "extra": "",
            "tags": [
                {
                    "tag": "art history"
                },
                {
                    "tag": "network analysis"
                }
            ],
            "collections": [],
            "relations": {},
            "dateAdded": "2014-08-04T11:15:32Z",
            "dateModified": "2014-08-04T11:16:33Z"
        }
    }
]